The revolutionary impact of artificial intelligence (AI) on the world of work cannot be overstated. AI experts continue to pioneer new and innovative products, consistently pushing the boundaries of what is possible. Every day brings news of these remarkable creations, each highlighting a blend of creativity and uniqueness. And when we introduce Generative AI into the equation, inventiveness knows no bounds – from designs, content, and art to virtual conversational enablers. This technology ushers in a realm of possibilities, enabling data-driven decisions, bolstering workplace efficiency, and elevating productivity across various job roles.
Yet, as companies embark on this transformative journey with Generative AI, a pivotal question arises:
The evolving AI landscape has witnessed an upsurge in the variety of Generative AI products and applications in recent months, signifying a dynamic shift in the industry’s dynamics. In our previous blog of this series, we delved into Mercer | Mettl’s comprehensive AI adoption framework. This framework is designed to facilitate the seamless integration and application of AI across a diverse spectrum of user levels – encompassing AI researchers, developers, consultants, and end-users.
The pyramid-shaped model illustrates individuals at various levels and their propensity to leverage AI technology to varying extents. Notably, most users across industries and organizations belong to the bottom or end-user level. Their roles involve interacting with AI-powered applications and integrating them into their day-to-day tasks and operations. This tier is also the one that demands the most extensive AI enablement.
This blog takes a closer look at the impact of AI on this tier and sheds light on the vital skills imperative for crafting the workforce of the future.
Equipping the workforce with the necessary skills to effectively work with Generative AI (Gen AI) involves a combination of interpersonal, cognitive, and adaptability skills. These skills are essential for individuals to thrive in an AI-augmented environment.
Generative AI evolves swiftly. An eagerness to learn ensures adaptability to emerging tools and the shaping of an AI-powered future.
Generative AI serves as a catalyst for imaginative problem-solving, channeling technology toward novel and impactful business outcomes. Individuals should be able to identify complex challenges in their domain and leverage Gen AI to generate innovative solutions.
Critical thinking skills enable individuals to analyze information, evaluate its reliability, and make informed decisions. This skill is essential for assessing the outputs of Generative AI models, identifying potential biases or errors, and making data-driven decisions.
Proficiency in analytical thinking empowers users to extract actionable insights from AI-generated data, shaping business strategies and impactful campaigns.
The ability to convey technical communication to non-technical stakeholders is pivotal. Moreover, the precision in articulating precise prompts to AI tools is paramount.
Understanding data and its implications is fundamental when working with AI. Individuals should develop data literacy skills to interpret and use data effectively, as AI models heavily rely on data inputs.
The reach of Generative AI applications extends across diverse and inclusive user bases. Specific functions like marketing, sales, HR, and more are poised to tap into generative AI’s capabilities in distinct and exclusive ways. For instance, marketing stands to benefit from AI’s prowess in analyzing customer personas, thereby enabling targeted campaigns and personalized communication. Likewise, HR functions can streamline employee communication, enhance onboarding processes, and facilitate feedback communication.
The effectiveness of leveraging a Generative AI application hinge on the proficiency of prompt engineering skills. This emerging skill set necessitates candidates to demonstrate a firm grasp of AI tools such as ChatGPT, BARD, and more. The soft aspect of this skill is crucial, encompassing behavioral traits that enhance effectiveness.
Mercer | Mettl’s upcoming assessment thoroughly covers the behavioral dimensions required for crafting intelligent prompts for AI tools. It assesses the ability to identify best practices, adhere to guidelines, and navigate the nuances of do’s and don’ts. Additionally, the evaluation focuses on skills such as effective prompt formulation, bias mitigation, clarity, and adaptability to the ever-evolving AI landscape.
In conclusion, a continuous learning mindset is crucial as AI technologies evolve rapidly. Adaptability, open-mindedness, and a willingness to explore new ways of working will ensure professionals remain effective in an AI-augmented environment. A multidisciplinary approach that combines domain-specific knowledge with AI capabilities will be the cornerstone of success in leveraging AI to enhance efficiency and productivity across diverse job functions. Stay tuned as Mercer | Mettl introduces this insightful assessment framework to catalyze impactful AI adoption and enable organizations to navigate the transformative tide of Generative AI.
Originally published September 11 2023, Updated September 12 2023
Rob leads the Assessment Research Team, with a focus on: ensuring innovation and scientific rigour in Mettl’s assessments. He is a Chartered/Registered Occupational Psychologist with over 24 years of experience in psychometrics research and consultancy. He is a member of Mettl’s Executive Leadership Team.
The accelerated pace at which businesses are rushing toward digitization has primarily established that digital skills are an enabler. It has also established the ever-changing nature of digital skills, and created a need for continuous digital upskilling and reskilling to protect the workforce from becoming obsolete.
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Behavioral Competencies
Cognitive Competencies
Coding Competencies
Domain Competencies
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